Upload
dinhnhan
View
216
Download
0
Embed Size (px)
Citation preview
Counseling and Wellness: A Professional Counseling Journal 1 2013 Volume 4
The Social Psychology of College Drinking Behavior and
Implications for Counseling
Cody Bayles
Abstract Alcohol abuse among college students comes with consequences that can be academic, social,
emotional, sexual, and physical in nature (Smith & Berger, 2010). Despite the penalties, college students
are prone to engage in risky alcohol consumption behaviors. Social cognitive theory, developed by Albert
Bandura (1989) provides a framework for understanding drinking behaviors among college students.
Triadic reciprocal determinism posits a reciprocal influence exists between a person’s environment,
personal factors, and behaviors. Prior research helps to understand the reciprocal influence between
these three areas as they relate to college students and Greek membership (Capone, Wood, Borsari, &
Laird, 2007; Phua, 2011), student housing (Hummer, LaBrie, & Pedersen, 2012), social norms (Read,
Wood, & Capone, 2005), alcohol expectancies (Wood, Read, Palfai, & Stevenson, 2001; Wardell & Read,
2012; Iwamoto, Corbin, Lejuez, & MacPherson, 2013), emotional intelligence (Ghee & Johnson, 2008;
Claros & Sharma, 2012), self-efficacy (Kuther & Timoshin, 2003), and alcohol use. Implications for
utilizing motivational and cognitive-behavioral interventions to reduce problematic alcohol use are
considered.
Several studies have been conducted identifying problems for college students related
to alcohol consumption. Murphy, Hoyme, Colby, and Borsari (2006) examined the
impact of alcohol use on quality of life in college student problems using the Quality of
Student Life Questionnaire (Keith & Schalock, 1994). The results suggested higher
levels of alcohol use problems were significant predictors of lower general life
satisfaction in college males and females (Murphy, Hoyme, Colby, & Borsari, 2006).
However, a surprising finding from this study is the absence of a direct negative
relationship or correlation between the amount of alcohol consumption and quality of
life. Hypotheses by the authors addressing this finding include the idea that
consequences of alcohol problems may be dependent upon the dose. As dosage goes
up, so do alcohol problems. The implications of this finding indicate that Cody Bayles is a Ph.D. student in the Counseling Psychology program at Northern Arizona University. Correspondence concerning this article should be sent to [email protected]..
Counseling and Wellness: A Professional Counseling Journal 2 2013 Volume 4
students receive a benefit from consuming alcohol when the dosage is not at a point
that results in negative consequences. The notion that college students benefit from
drinking alcohol is not uncommon in the existing literature. Murphy et al., (2006)
identified social belonging for college men is greater in those who consume large
amounts of alcohol together. This is also evident in college women. Smith and Berger
(2010) conducted a qualitative analysis utilizing a grounded theory approach and semi-
structured interviews to identify common factors in drinking among college women (n =
10) who met criteria for high-risk use of alcohol. Criteria used for high-risk alcohol use
was based on the national standardized binge drinking definition (4 or more drinks in a
row at least one time in the last 2 weeks) and reported negative consequences
associated with drinking. The results from this study identified three common factors in
which all ten of the participants discussed matters relating to these factors. The three
factors identified include motives, the relational ritual, and consequences. The motives
for drinking include being merry, meeting others including men, and managing mood.
The relational ritual factor included drinking before going out with a close network of
friends, going out, and telling alcohol-related stories after going out. These two factors
are related to the benefits of drinking alcohol. It is implied college students are able to
bond with one another and enhance their social experience through the use of alcohol.
The third factor in the Smith and Berger study (2010) was consequences related
to drinking. All ten of the participants in their study spoke openly about five different
negative consequences related to consuming alcohol including academic, social,
emotional, physical, and sexual costs. Academic consequences were identified as
missing class and grades slipping. Social consequences included getting into trouble or
fighting with friends. Mood consequences were related to acting in a way that was
identified as being emotional which includes mood swings. The physical consequences
encompassed blackouts, hangovers, and general pain related to hangovers such as
puking and purging. The consequences related to sexual behavior included becoming
intimate with random partners and being the victim of a sexual assault. It is again
evident in the literature that consuming alcohol has benefits, but does not always come
without consequences for college women who drink four or more drinks in a row.
Counseling and Wellness: A Professional Counseling Journal 3 2013 Volume 4
Smith and Berger (2010) explained that negative academic consequences were
a common experience among college women in their study. In a study by Porter and
Pryor (2007), the effects of binge drinking were investigated relating to academic
consequences and student engagement. Porter and Pryor identified the prevalence of
binge drinking behaviors that ranged from 30% in women’s colleges to 56% in males
attending coed colleges. The results from their study suggest that heavy episodic
drinking behavior has a significant negative effect on overall GPA as well as student
engagement. Ordinal logistic regression was used to predict the probability of GPA
change and heavy episodic drinking. In the highest level of binge drinking, the
predicted change in GPA was -0.11 (p < .01). Findings also indicated that one of the
strongest predictors of positive educational outcomes is the level of interaction between
students and faculty. Heavy episodic drinking at the highest level as evidenced by
drinking at least five or more drinks on at least four different occasions in the last two
weeks was shown to have a significant effect on the interaction level between male
students and faculty members at research institutions. Given that student-faculty
interaction is a significant predictor of academic achievement (Porter & Pryor, 2007),
this finding can be seen as a problem for males who binge drink at a high level in
research institutions.
The negative consequences of problematic alcohol use can exist on several
levels for college students. The consequences can vary in nature, but appear most
prevalent in the realms of academic functioning, social functioning, and physical health
(Smith & Berger, 2010). Despite the consequences of drinking, college students appear
to experience benefits related to alcohol use. This includes enhanced relational
bonding and social functioning. Given the benefits of alcohol use and the negative
consequences, it is important to review the literature related to theory that can
adequately explain drinking behaviors among college students so proper interventions
might be developed
Social Cognitive Theory Albert Bandura developed a psychosocial theory of development known as social
cognitive theory 1986. This theory was created to help explain human development
Counseling and Wellness: A Professional Counseling Journal 4 2013 Volume 4
across the lifespan. Some of the major tenets of social cognitive theory are: a) people
learn through observation; b) learning does not always lead to changes in behavior, and
c) a triadic reciprocal relationship exists between a person’s environment, their
behaviors, and their mental processes (Bandura, 1989). Social cognitive theory assists
to explain learning and provides insight into how people may choose to behave.
A major tenet of social cognitive theory is a triadic reciprocal relationship exists
between a person’s environment, their behaviors, and their mental processes or
personal factors. Bandura asserts that not all three of the reciprocal determinants have
to be of equal strength, but the strength of the determinants can vary based on other
factors (Bandura, 1989). In the model of reciprocal determinism, the influence that
personal factors have on behaviors relies heavily on the thoughts, feelings, and actions
of a person. Expectations and beliefs are examples of cognitions that influence a
person’s behavior.
The environment has a direct influence on a person’s cognitions as their
expectations and beliefs are directly affected by social influence and persuasion. A
person’s environment affects their cognitions as perceptions of social norms are
constructed. Social norms, which are consistent with the environment, act to shape the
cognitions about their environment and self. As the environment influences a person’s
cognitions, their behaviors are then subject to be affected by their cognitions. A two-
way causal relationship then exists between the environment and their behaviors. An
environment helps to shape a person’s behavior, which in turn reinforces the norms of
the environment. Bandura refers to this concept as people being the products and
producers of their environment. The theory of reciprocal determinism may help explain
the influences behind college students behaviors related to drinking.
Social Cognitive Theory and College Drinking Behavior Much research has examined the influence of peers on the behaviors of an
individual. This research extends into behaviors related to drinking among college
students. Prior investigations have examined the influence of peers among college
students who transition from high school to college, who live in certain housing
arrangements, and who are a part of the Greek system. Prior research has provided
Counseling and Wellness: A Professional Counseling Journal 5 2013 Volume 4
insight into the impact of peer influence as well as the influence of perceived norms on
college drinking behaviors (Read, Wood, & Capone, 2005; Capone, Wood, Borsari, &
Laird, 2007; Phua, 2011).
The transition from high school to college is a major milestone in the life of a
young adult. The adjustment can be difficult as students may move to a new city and
faced with several new tasks. One of the new tasks can be developing a peer group.
Erik Erikson’s (1950) theory of psychosocial development contends that a person who is
eighteen years old and adjusting to college would be transitioning from a stage of
developing one’s identity into a stage of developing one’s community. These stages are
known as identity vs. role confusion and intimacy vs. isolation, respectively. As a
person transitions into the latter of these two stages, they would be interested in
developing close, interpersonal relationships. It is at this junction people may feel
motivated to fit in with a particular peer group. The desire to fit in with a peer group may
lead to conformity to the group’s social norms.
Research on drinking behaviors of students transitioning from high school to
college has provided evidence of the effect of peer influences on drinking behaviors.
The effects of the environment are clear in several different studies. A study by
Capone, Wood, Borsari, and Laird (2007) investigated the effects of gender and Greek
affiliation on alcohol use and alcohol-related problems in the first two years of college as
it relates to selection, socialization, or reciprocal influences. The authors propose
gender and Greek affiliation are both associated with increases in alcohol use and
alcohol-related problems. Males in the Greek system were identified as being the
greatest risk for increased alcohol use and alcohol-related problems over the first two
years of college.
Further research has found similar results suggesting that males in the Greek
system are at the greatest risk for alcohol use. Phua (2011) studied the effects of peer
norms and popularity on smoking and drinking behaviors among college fraternity
members. Further support was established for the notion college males in the Greek
system pose the greatest level of risk for alcohol and smoking behaviors. Phua
identified popularity was another predictor contributing to increased alcohol use.
Counseling and Wellness: A Professional Counseling Journal 6 2013 Volume 4
Despite the role of popularity in the increased use of alcohol and cigarettes, another
mediator was identified. Conforming to peer norms was found to mediate the effect of
popularity. Phua proposed popular members of the Greek system were more likely to
drink and smoke more because of conformity to the group’s norms regarding alcohol
and tobacco use. It is evident in the studies by Capone et al., and Phua the Greek
environment imposes a heavy influence on the drinking behaviors among college
students.
Alcohol use among students who are actively engaged in Greek life is
significantly higher than students who participate less or not at all (Cashin, Meilman, &
Presley, 1998). A study designed by Cashin, Meilman, and Presley sought to compare
reported drinking behaviors, consequences, and beliefs about alcohol use among
students based on their participation in Greek life activities. A 2x4 ANOVA was used to
analyze involvement in Greek life and gender (independent variables) and average
number of drinks per week (dependent variable) in a sample of 25,411 students from 61
universities. The results from this study provide evidence of a significant main effect for
degree of involvement in Greek life (F = 456.28, p < .001) and gender (F = 1506.52, p <
.001) on average number of drinks per week. A significant interaction effect was
identified for Gender X Involvement (F = 67.15, p < .001). The findings from this study
indicate males from the Greek system who are leaders and actively involved are at the
greatest risk for heavy alcohol use (5 or more drinks in one sitting). One way in which
this study differed from previous studies was by providing evidence that more
involvement in Greek life was positively correlated with increased drinking and negative
consequences associated with drinking.
The transition from high school to college has been the subject of much research
as drinking tends to increase during this period. Schulenberg and Maggs (2002)
hypothesize the increase in drinking is the result of increased independence and
decreased parental involvement. Given the increase in drinking during this transitional
period, it is important to identify the influence of peer groups on drinking behaviors. The
role of perceived norms and the influence of the peer group have both been shown to
have a significant role in predicting alcohol use. Hummer, LaBrie, and Pedersen (2012)
Counseling and Wellness: A Professional Counseling Journal 7 2013 Volume 4
conducted a study to examine first-year college students’ perceptions of alcohol use
among other students on the same floor in their dormitory. The findings from this study
demonstrate first-year college males and females both overestimated alcohol use
behavior and permissive attitudes towards alcohol use among their peers. The
implications from this finding suggest that perceived norms among peers were strongly
related to individual drinking behavior and individual permissive attitudes towards
drinking. Students who perceived their peers to drink more than reported were shown
to engage in greater levels of drinking.
The role of social norms in one’s choice to engage in drinking behaviors can be
attributed to different sources among college students transitioning from high school
including active and passive social influences (Read, Wood, & Capone, 2005). Active
social influences refer to situations in which alcohol is actively offered. This is important
to distinguish because college students are apt to find themselves in an environment
where alcohol offers are unconcealed. Passive social influences refer to social
modeling and social norms. The findings from Read et al., provide evidence for the
effect of Bandura’s triadic reciprocal determinism theory on the drinking behaviors
among college students. The environment and personal factors were shown to have an
effect on students drinking behaviors as active alcohol offers and perceived social
norms resulted in greater alcohol use.
Additional research has focused on drinking behaviors during the transition from
the last month of high school to the first month of college in females. LaBrie, Huchting,
Pedersen, Hummer, Shelesky, and Tawalbeh (2007) examined drinking behaviors in
this population and were able to report several findings. College females’ drinking
behaviors during the first month of college are significantly predicted by their previous
drinking history while in high school. This finding suggests females who drink in high
school are more likely to increase alcohol consumption during the first month of college.
Even after controlling for several factors such as prior drinking history and family
income, LaBrie et al., identified the intention to pledge to a sorority among college
females significantly predicted an increase in alcohol use. This finding provides further
evidence for the reciprocal effect of one’s environment and personal factors on their
Counseling and Wellness: A Professional Counseling Journal 8 2013 Volume 4
behavior. This study provides evidence that the perception of drinking behaviors in the
Greek system influences college females’ choice to engage in elevated drinking
behaviors over the first month of college.
The study by LaBrie et al., adds to the study conducted by Capone et al., as
drinking behaviors in Capone’s study were found to be greatest in the Greek system. It
is apparent in the study by Labrie et al., that college females perceive the environmental
influence of the Greek system and engage in behaviors that are believed to be
congruent with the desired or intended environment. This finding provides support for
the notion the Greek system is among the greatest risk for elevated drinking in first year
college students. The evidence of the effect of perceived social norms and peer
influences on individual behavior is apparent in college students as they transition from
high school to college and especially for those who intend to pledge to the Greek
system. These findings are consistent with prior research on a false consensus effect in
which students commonly overestimated the commonality of their own drug or alcohol
use on their peers (Wolfson, 2000). False consensus occurs when people choose to
identify with others based on having similar behaviors of their own. An understanding of
the false consensus effect helps to explain why college females who intend to join a
sorority may drink more.
The Influence of Positive Alcohol Expectancies on Alcohol Use The effects of peer influence and social norms are evident not only in first year
college students, but in students at all stages in their college career in various
environments. Wardell and Read (2012) examined the role of social norms and positive
alcohol expectancies (PAEs) in college students between the ages of 18-24 over the
first three years of students’ college careers. Positive alcohol expectancies include
items such as mood management, social lubrication, and performance enhancement. It
was hypothesized that PAEs are more stable whereas norms are more dynamic and
change over time. The results suggest positive alcohol expectancies do indeed remain
more stable over time and social norms tend to be more dynamic indicating a reciprocal
influence between quantity of drinking norms and drinking quantity. Peer perceptions
are also related to this concept as people who are at a greater risk for a substance use
Counseling and Wellness: A Professional Counseling Journal 9 2013 Volume 4
disorder, misperceive alcohol use norms to a greater extent than those who are not at
risk (Lewis & Mobley, 2010). As perceived norms of quantity and positive expectancies
increased, so did the amount of alcohol used by college students. The reciprocal
influence was evident as norms related to quantity increased when the quantity of
alcohol consumed increased as well. These findings demonstrate further evidence of
the triadic reciprocal influence between individual factors, environments, and behaviors.
Positive alcohol outcome expectancies have been researched to identify
whether they act as a mediator between social influences (active and passive) and
alcohol use. Wood, Read, Palfai, and Stevenson (2001) found strong evidence for
perceived positive alcohol outcomes acting as a mediator between socio-environmental
factors and individual drinking behaviors. It is again hypothesized personal factors play
a mediating role between one’s environment and one’s behaviors. Evidence from this
study suggests that PAEs influence college students’ decisions to drink alcohol as the
results indicate the use of alcohol is increased when the positive expectancy value of
one’s expectations are increased.
A connection between the roles of social norms and PAEs is evident in the
articles by Wardell et al. (2012), and Wood et al (2001). According to Wardell et al., the
reciprocal determinism theory, developed by Bandura, helps explain the role of social
norms as they influence college drinking. However, the effect of positive alcohol
expectancies was not deemed to have a reciprocal influence with alcohol use. PAEs
influenced alcohol use, but not the converse. Wardell and Read (2012) hypothesized
norms and PAEs differ in their nature. Norms are dynamic and fluid changing over time,
whereas PAEs are more concrete and stable. Wood et al., found a reciprocal influence
between PAEs and alcohol use, whereas Wardell et al., did not. One hypothesis
regarding the stability of PAEs is PAEs are stable for people by the time they reach
college. Wardell et al., proposed that PAEs are more fluid in younger adolescents who
are experimenting with alcohol. By the time young adolescents reach college, the PAEs
have been solidified and are not as subject to changing. The existing body of literature
has additional support for the reciprocal influence of social norms and alcohol use,
Counseling and Wellness: A Professional Counseling Journal 10 2013 Volume 4
whereas the support for the reciprocal influence between PAEs and alcohol use is not
as well documented.
The role of positive alcohol expectancies in college men has also been
researched to identify whether PAEs mediate the relationship between masculine norms
and alcohol use. Iwamoto, Corbin, Lejuez, and MacPherson (2013) identified the
masculine norms of playboy and risk taking were both associated with higher levels of
alcohol use when controlling for Greek involvement. These two norms were also
positively correlated with positive expectancies. Findings from this study suggest
positive expectancies work to mediate the relationship between masculine norms and
alcohol use. Seeing that PAEs may be more stable by the time students reach college,
it is evident in this population that PAEs are related to alcohol use. These results are
consistent with Bandura’s theory on social learning and the role that positive alcohol
expectancies play in mediating the association between personal factors and problems
resulting from alcohol use (Borsari, Murphy, & Barnett, 2007).
The Role of Personal Factors in Drinking Behaviors Personal factors such as psychosocial and social cognitive variables are both
shown to have an effect on college drinking behaviors (Kuther and Timoshin, 2003).
Psychosocial predictors for drinking include levels of self-efficacy, anxiety, depression,
social support and assertiveness. Social cognitive predictors refer to expectation,
evaluation, and norms (parental and peer). Previous studies identified mixed results for
the role of expectation in alcohol use. Positive alcohol expectancies have been found to
predict alcohol use in college students, but conclusive evidence for a reciprocal
influence does not exist. The conclusions from this study provide evidence for the
influence of social cognitive predictors, especially expectations of the likelihood of
positive and negative consequences on increased alcohol use in college students.
Psychosocial predictors accounted for 1% of the variance in self-reported drinking with
social support being the only significant predictor (Kuther & Timoshin, 2003). This
notion provides further support for social cognitive factors such as expectation,
evaluation, and norms being factors leading to increases in drinking behavior.
Counseling and Wellness: A Professional Counseling Journal 11 2013 Volume 4
Kuther et al. (2003) examined the roles of negative alcohol expectancies to
determine their effect on alcohol use. Their findings suggest college students who
evaluate negative consequences in a more positive light tend to drink less. These
results appear to be counterintuitive, but consistent with prior literature, as perceived
negative consequences of drinking have provided mixed results (Kuther, 2002). Alcohol
use and self-efficacy were also related as people who perceived less control over their
drinking displayed lower levels of self-efficacy. This was also related to negative
consequences as measured by the Comprehensive Effects of Alcohol Questionnaire
(Fromme, Stroot, & Kaplan, 1993). The Comprehensive Effects of Alcohol
Questionnaire measures students’ perceptions of positive and negative consequences
as they relate to drinking along with the likelihood of these consequences occurring.
Reliability indices for expectancy and value were calculated using test-retest analyses.
The reliability ranges were r = .66-.72 (positive expectancy), r = .59-.78 (positive value),
r = .75-.81 (negative expectancy), and r = .53-.65 (negative value) (Fromme, Stroot, &
Kaplan, 1993). Students who become more familiar with the negative consequences of
drinking begin to perceive these consequences as neutral and no longer negative. This
in turn leads to perceptions of lessened control over drinking and a diminished level of
self-efficacy. Social cognitive predictors for drinking appear to have a significant effect
on alcohol use among college students. Self-efficacy acts as a mediator between
evaluations of negative consequences of drinking and self-reported levels of drinking
suggesting college students begin to view negative consequences in a more favorable
light when they feel less control over their drinking.
Emotional intelligence is another personal factor that has been researched as
having an influence on alcohol use. Ghee and Johnson (2008) found emotional
intelligence held a mediating role between peer norms and alcohol use. The authors
suggest college students with higher levels of emotional intelligence demonstrate less of
an association between the variables of peer norms and alcohol use. The opposite was
evident as well. Students with lower emotional intelligence demonstrate a greater
relationship between peer norms and alcohol use.
Counseling and Wellness: A Professional Counseling Journal 12 2013 Volume 4
The findings from Ghee and Johnson’s study are consistent with a study by
Claros and Sharma (2012) that the self-efficacy variables of perception, utilization,
regulation, and management of emotion were significant predictors of alcohol and
marijuana use. High scores of emotional intelligence are positively associated with
abilities to successfully cope with life’s stressors. Claros and Sharma identified
students with higher scores of self-efficacy were associated with lower scores on the
Alcohol Use Disorders Identification Test (AUDIT). The four factors of emotional
intelligence (perception, utilization, regulation, and management of emotion) may help
students to be aware of peer norms and make choices related to alcohol use that result
in fewer or less severe consequences.
Self-efficacy, emotional intelligence, and other personal factors influence the
choices that college students make with regards to drinking. Merrill, Read, and Barnett
(2012) researched the role of subjective evaluations of recently experienced
consequences and the effec8t that may have on college students’ decisions to drink
throughout college. The results from this study suggest that students drank less, which
correlated positively with fewer alcohol related consequences, when they evaluated
their recent consequences as being negative. Merrill et al., hypothesized college
students who choose to view their consequences as being aversive are more likely to
engage in behavioral changes to avoid risks. These results are consistent with some of
the prior literature on the effects of negative alcohol expectancies, but they don’t parallel
the findings from Kuther et al., (2003).
Kuther et al. (2003), found that students who view negative consequences in a
more positive light tend to drink less than their peers. Merrill et al., (2012) identified
negative subjective evaluations of consequences tend to lead to less drinking as
subjective evaluation scores across weeks were associated with lower alcohol
consumption (p = .01) and fewer alcohol consequences (p = .002). The result from
these two studies both lead to the same result which is less drinking, but the means to
achieve this result are different. In one case, a favorable interpretation of negative
consequences leads to less drinking and in the other case, a less favorable
interpretation of negative consequences resulted in less drinking. A connection may be
Counseling and Wellness: A Professional Counseling Journal 13 2013 Volume 4
made between the consideration of negative consequences and reduced alcohol use.
This connection may help to inform the development of further risk reduction and
alcohol-based treatments for college students.
Excessive alcohol use during college years is a norm perceived as being a part
of the entire college experience. Students may hold beliefs that all their peers drink and
the overuse or abuse of alcohol is a common experience among other students.
Alcohol abuse among college students often results in consequences that can be
perceived as positive or negative. Positive consequences may include the belief that
students function better socially, may manage their mood better, and have greater
social experiences. However positive the experience may be, it is also evident that
alcohol abuse comes with negative consequences that are academic, social, emotional,
physical, and sexual in nature.
Implications for Counseling Bandura’s theory of triadic reciprocal determinism helps to explain drinking
behavior among college students. In his theory, a reciprocal influence exists between
the environments, behaviors, and personal factors of a person. This is evident in
several studies as alcohol use is related with consequences and higher levels of use
among first year students who plan to pledge to a Greek organization and among
students who are already a part of the Greek system. This is an environment that
poses a risk for college students and has a reciprocal influence on the perceptions,
expectancies, and outcomes of college students. An understanding of the students who
are at the greatest risk for excessive alcohol use, and what helps to determine this risk
may then help to build effective interventions. Using social cognitive theory as a
foundation, it is important to build interventions that effectively help students evaluate
their environments, their behaviors, and their cognitions or beliefs that lead to risky
alcohol use. Given college students who abuse alcohol may lack coping strategies
(Britton, 2004), it is important to develop interventions that teach skills to reduce risky
behavior and how to consume alcohol in a more responsible manner.
Given the dynamic nature of the reciprocal influence between socio-
environmental factors, individual factors, and personal factors, it is important to develop
Counseling and Wellness: A Professional Counseling Journal 14 2013 Volume 4
interventions that address all three of these types of influences. Interventions that
address socio-environmental factors can help create awareness for students as to how
their environment shapes their behavior. Addressing issues related to active influences
such as direct alcohol offers can help students make choices as to what environments
will be most conducive for their well-being. Students can make plans that will help
reduce the possibility of experiencing negative consequences. This may include having
a predetermined time to leave, a predetermined and reasonable set amount of drinks to
consume, and having a friend to be accountable in that environment. It is also
important to address passive influences such as social modeling and social norms.
Social norms interventions are currently a popular way of trying to help college students
lessen their drinking by offering them statistics and norms of campus drinking
behaviors. Read, Wood, and Capone (2005) suggested it might be best to narrow the
scope of the norms presented to college students because they identified social
influence factors are stronger as they are closer to the individual. Given these findings,
it may be better to offer norms based approaches tailored for specific populations as
they relate specifically to individuals. Students interpret these norms with more
meaning as they self relate as opposed to norms as they relate to less intimate groups
or typical college students on a campus wide level.
Interventions seeking to help college students reduce excessive alcohol use can
also be developed to address personal factors and behaviors. Given the role of
perceived positive/negative consequences of alcohol use, it may be helpful to address
these expectancies utilizing a motivational and cognitive-behavioral therapy (CBT)
framework. A motivational approach can help reduce ambivalence to change by
engaging the client, focusing on issues that a client may want to change, evoking
motivation to change, and planning steps to achieve change (Miller & Rollnick, 2002). A
motivational counseling approach utilizes open-ended questions, affirmations,
reflections, and summaries. The purpose of a motivational approach is to reduce
ambivalence to change and building enthusiasm about working towards change. A CBT
approach can help identify the connections between personal factors (cognitions) and
behaviors related to drinking. A cognitive-behavioral approach may include discovering
Counseling and Wellness: A Professional Counseling Journal 15 2013 Volume 4
triggers for excessive alcohol use, expectations related to excessive alcohol use, past
experiences (positive and negative) of excessive alcohol use, and how those in turn
lead to engaging in behaviors that are consistent with a social environment in which
excessive alcohol use is present.
By practicing safe behaviors related to alcohol use, students may then develop a
greater sense of self-efficacy. Since levels of self-efficacy were correlated with levels of
alcohol use (Kuther & Timoshin, 2003), it may be important for college students to
develop self-efficacy through practicing new skills and experiencing rewards or success
related to their new behaviors. Rewards or successes can be experienced through
optimal social functioning without the presence of negative consequences. Utilizing
Bandura’s model of triadic reciprocal determinism, it is helpful to understand college
students behaviors related to drinking as they relate to socio-environmental factors,
personal factors, and individual behaviors. An understanding of the presence of these
three types of influences can then allow for efficient interventions to be developed and
utilized so that college students may reduce the excessive and risky use of alcohol.
References
Bandura, A. (1989). Social cognitive theory. In R. Vasta (Ed.), Annals of child
development. Vol. 6. Six theories of child development (pp. 1-60). Greenwich,
CT: JAI Press.
Borsari, B., Murphy, J.G., & Barnett, N.P. (2007). Predictors of alcohol use during the
first year of college: Implications for prevention. Addictive Behaviors, 32, 2062-
2086. doi:10.1016/j.addbeh.2007.01.017.
Britton, P.C. (2004). The relation of coping strategies to alcohol consumption and
alcohol-related consequences in a college sample. Addiction Research and
Theory, 12(2), 103-114.
Capone, C., Wood, M.D., Borsari, B., & Laird, R.D. (2007). Fraternity and sorority
involvement, social influences, and alcohol use among college students: a
prospective examination. Psychology of Addictive Behaviors, 21(3), 316-327.
Cashin, J.R., Meilman, P.W., & Presley, C.A. (1998). Alcohol use in the Greek system:
Counseling and Wellness: A Professional Counseling Journal 16 2013 Volume 4
Follow the leader? Journal of Studies on Alcohol, 59(1), 63-70.
Claros, E., & Sharma, M. (2012). The relationship between emotional intelligence and
abuse of alcohol, marijuana, and tobacco among college students. Journal of
Alcohol and Drug Education, 56(1), 8-37.
Erikson, E.H. (1950). Childhood and society. New York: Norton.
Fromme, K., Stroot, E., & Kaplan, D. (1993). Comprehensive effects of alcohol:
Development and psychometric assessment of a new expectancy questionnaire.
Psychological Assessment, 5, 19-26.
Ghee, A.C., & Johnson, C.S. (2008). Emotional intelligence: a moderator of perceived
alcohol peer norms and alcohol use. Journal of Drug Education, 38(1), 71-83.
Hummer, J.F., LaBrie, J.W., & Pedersen, E.R. (2012). First impressions on the scene:
the influence of the immediate reference group on incoming first-year students’
alcohol behavior and attitudes. Journal of College Student Development, 53(1),
149-162.
Iwamoto, D. K., Corbin, W., Lejuez, C., & MacPherson, L. (2013). College men
and alcohol use: positive alcohol expectancies as a mediator between distinct
masculine norms and alcohol use. Psychology of Men & Masculinity. Advance
online publication. doi:10.1037/a0031594.
Keith, K.D., & Schalock, R.L. (1994). The measurement of quality of life in
adolescence: The Quality of Student Life Questionnaire. American Journal of
Family Therapy, 22, 83-87.
Kuther, T.L. (2002). Rational decision perspectives on alcohol consumption by youth:
Revising the theory of planned behavior. Addictive Behaviors, 27, 35-47.
Kuther, T.L., & Timoshin, A. (2003). A comparison of social cognitive and psychosocial
predictors of alcohol use by college students. Journal of College Student
Development, 44(2), 143-154.
Labrie, J.W., Huchting, K., Pedersen, E.R., Hummer, J.F., Shelesky, K., & Tawalbeh, S.
(2007). Female college drinking and the social learning theory: an examination of
the developmental transition period from high school to college. Journal of
College Student Development, 48(3), 344-356.
Counseling and Wellness: A Professional Counseling Journal 17 2013 Volume 4
Lewis, T.F., & Mobley, A.K. (2010). Substance abuse and dependency risk: the role of
peer perceptions, marijuana involvement, and attitudes toward substance use
among college students. Journal of Drug Education, 40(3), 299-314.
Merrill, J.E., Read, J.P., & Barnett, N.P. (2012). The way one thinks affects the way one
drinks: subjective evaluations of alcohol consequences predict subsequent c
change in drinking behavior. Psychology of Addictive Behaviors. Advance
online publication. doi: 10.1037/a0029898.
Miller, W.R., & Rollnick, S. (2002). Motivational interviewing: Preparing people for
change. (2nd ed.). New York, NY. Guilford Press.
Murphy, J.G., Hoyme, C.K., Colby, S.M., & Borsari, B. (2006). Alcohol consumption,
alcohol-related problems, and quality of life among college students. Journal of
College Student Development, 47(1), 110-121.
Phua, J. (2011). The influence of peer norms and popularity on smoking and drinking
behavior among college fraternity members: a social network analysis. Social
Influence, 6(3), 153- 168.
Porter, S.R., & Pryor, J. (2007). The effects of heavy episodic alcohol use on student
engagement, academic performance, and time use. Journal of College Student
Development, 48(4), 455-467.
Read, J.P., Wood, M.D., & Capone, C. (2005). A prospective investigation of relations
between social influences and alcohol involvement during the transition into
college. Journal of Studies on Alcohol, 66(1), 23-34.
Schulenberg, J.E., & Maggs, J.L. (2002). A developmental perspective on alcohol use
and heavy drinking during adolescence and the transition to young adulthood.
Journal of Studies on Alcohol, 14, 54-70.
Smith, M.A. & Berger, J.B. (2010). Women’s ways of drinking: college women, high-risk
alcohol use, and negative consequences. Journal of College Student
Development, 51(1), 35-49.
Wardell, J. D., & Read, J. P. (2012). Alcohol expectancies, perceived norms, and
drinking behavior among college students: examining the reciprocal determinism
hypothesis. Psychology of Addictive Behaviors. Advanced online publication. doi:
Counseling and Wellness: A Professional Counseling Journal 18 2013 Volume 4
10.1037/a0030653.
Wolfson, S. (2000). Students’ estimates of the prevalence of drug use: evidence for a
false consensus effect. Psychology of Addictive Behaviors, 14(3), 295-298.
Wood, M.D., Read, J.P., Palfai, T.P., & Stevenson, J.F. (2001). Social influence
processes and college student drinking: the meditational role of alcohol outcome
expectancies. Journal of Studies on Alcohol, 62(1), 32-43.